Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154C410B9D185127346CBD5C6F8A65F1A2BD3934EE943071993E887E1BFD2EC2E522C10 |
|
CONTENT
ssdeep
|
3072:iqDhYz8bdhHEbubTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1DP:9h8r7jDw/47g7/tv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce6131ce8e67ce30 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
8ad0686969696904 |
|
VISUAL
wHash
|
007e7e7f7f7c0400 |
|
VISUAL
colorHash
|
39001000e00 |
|
VISUAL
cropResistant
|
8d9983e6a6a686a6,8ad0686969696904 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 626 techniques to evade detection by security scanners and make reverse engineering more difficult.